Review of Soo Ling Lim and Anthony Finkelstein “StakeRare: Using Social Networks and Collaborative Filtering for Large-Scale Requirements Elicitation”

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This article is the results of research on StakeRare, Stakeholder- and Recommender- assisted method for requirements elicitation, a method that is used to identify and prioritize requirements for requirements elicitation using social networks and cooperative filtering. The article states that by using social networks and cooperative filtering three common problems large-scale requirements engineering can be alleviated. These problems are information overload, poor stakeholder input, and predisposed prioritization of requirements. Information overload is unavoidable in large projects as there can be many stakeholders and requirements. Poor stakeholder input due to not recognizing, or allowing enough time to stakeholder. Biased prioritization of requirements happens due to lack of system-wide perspective due to the size of the project. StakeRare uses social media to combat these issues by using collaborative filtering to gather knowledge from relevant requirements according to stakeholders, having stakeholders identify other stakeholders, and then uses stakeholders’ input to rate the requirements. The article evaluates the performance on StakeRare by testing the process on a large scale project the comparing the results in comparison to other elicitation methods. The authors of this article begin by listing the main problems that are associated with large software requirement processes and then summarize how StakeRare will alleviate these through social networks and collaborative filtering in the elicitation process. This is a significant idea in utilizing technology in the software engineering process that have become more widely used since the creation of the more dated requirements elicitation methods. Large scale software projects are more likely to have stakeholders that are more spread out geographically and organizationally. This is due to organizations

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